DALLE 2 is an AI system developed by OpenAI that can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles, and can expand images beyond the original canvas, make realistic edits to existing images, and create different variations of images inspired by the original. Significantly improved version from DALLE 1 for caption matching and photorealism. The system focuses on safety, preventing harmful generations, and curbing misuse. It has been developed by a team of researchers, engineers, designers, and product specialists, and has been acknowledged by various individuals who contributed to its development.
⚡Top 5 DALLE 2 Features:
- Creating original, realistic images and art from a text description: Generate images based on text descriptions, combining concepts, attributes, and styles.
- Expanding images beyond the original canvas: DALLE 2 can create new compositions by expanding images beyond their original boundaries.
- Making realistic edits to existing images: Edit existing images based on natural language captions, adding or removing elements while considering shadows, eflections, and textures.
- Creating different variations of images: Generate different versions of an image inspired by the original.
- Preferred over DALL·E 1: DALLE 2 is preferred by evaluators for caption matching and photorealism.
⚡Top 5 DALLE 2 Use Cases:
- Creating images for fashion and interior design: DALLE 2 can combine concepts to describe both real and imaginary things, making it useful for fashion and interior design.
- Synthesizing objects: Combine disparate ideas to synthesize objects, some of which may not exist in the real world.
- Visualizing perspective and three-dimensionality: Gain control over the viewpoint of a scene and the 3D style in which a scene is rendered.
- Inferring contextual details: DALLE 2 can resolve underspecification in images, providing access to a subset of the capabilities of a 3D rendering engine via natural language.
- Zero-shot visual reasoning: Extends the capability of zero-shot reasoning to the visual domain, performing image-to-image translation tasks correctly when prompted correctly.
